{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/3"}],"enrichment":{"capability":"Integrates Databricks AI features, particularly vector search, into OpenAI applications through tool definitions and retrieval workflows.","skillfed_tags":["rag","vector-search","databricks-integration"],"use_cases":["Build RAG systems where OpenAI models query Databricks vector indexes to ground responses in proprietary data","Create chatbots that retrieve context from Databricks documentation or knowledge bases before answering user questions","Integrate Databricks AI Search with OpenAI agents for multi-step reasoning over indexed data","Combine MLflow model tracking with OpenAI function calling for reproducible, retrieval-augmented workflows"],"what_it_does":"databricks-openai bridges Databricks AI capabilities into OpenAI-based applications by providing tool definitions that work with OpenAI's function-calling API. The primary use case is retrieval-augmented generation (RAG): it wraps Databricks vector search indexes as callable tools that OpenAI models can invoke during chat completions to fetch relevant context before generating responses.\n\nThe package depends on eight runtime libraries including databricks-ai-bridge, mlflow, openai, pydantic, and several Databricks-specific modules. It requires Python 3.10 or later and installs as a pure-Python wheel with low friction. The integration follows OpenAI's standard tool-use pattern: define a VectorSearchRetrieverTool pointing to a Databricks index, pass it to the chat completions API, parse the model's tool calls, execute the retrieval, and feed results back to the model.","worth_installing":"Yes, if you are building OpenAI applications that need to retrieve context from Databricks vector indexes. The low install friction, active maintenance, permissive license, and no known vulnerabilities make it a safe choice. The package is narrowly scoped to a specific integration pattern, so install only if you have both Databricks infrastructure and OpenAI API access."},"id":"databricks-openai","links":{"html":"https://skillfed.io/packages/databricks-openai","md":"https://skillfed.io/packages/databricks-openai.md","pypi":"https://pypi.org/project/databricks-openai/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-25","license_spdx":null,"license_treatment":"permissive","name":"databricks-openai","python_support":"supports_current","summary":"Support for Databricks AI support with OpenAI"},"popularity":{"monthly_downloads":1448755,"position":3886,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.17.0"}